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All Journal JURNAL PENDIDIKAN TAMBUSAI Jurnal Ilmu Fisika Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat Pillar of Physics: Jurnal Berkala Ilmiah Fisika Journal of Renewable Energy, Electrical, and Computer Engineering Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Georest: Geoscience, Remote Sensing, and Technology Journal of Climate Change Society
Nofi Yendri Sudiar
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Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Analisis Tingkat Kenyamanan Iklim dan Termal Berdasarkan Metode Tourism Climate Index (TCI) di Kawasan Wisata Bukittinggi Rahmadhani, Annisa; Sudiar, Nofi Yendri; Hamdi, Hamdi; Zulhendra, Zulhendra
Jurnal Pendidikan Tambusai Vol. 8 No. 3 (2024)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

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Abstract

Terjadi peningkatan kunjungan wisatawan ke kota Bukittinggi yaitu lebih dari satu juta kunjungan selama tahun 2023. Penelitian ini bertujuan untuk mengetahui tingkat kenyamanan iklim dan termal wisatawan serta mengetahui waktu optimal untuk berkunjung dengan menggunakan metode TCI. Metode TCI mengukur kenyamanan wisatawan berdasarkan parameter iklim seperti suhu, kelembaban, curah hujan, penyinaran matahari dan kecepatan angin. Data iklim diperoleh dari stasiun GAW Bukit Kototabang selama periode 2013 – 2020. Data primer dikumpulkan melalui survei wisatawan yang dilakukan di lokasi jam gadang dan panorama. Hasil penelitian menunjukkan bahwa tingkat kenyamanan bervariasi sepanjang tahun, nilai TCI tertinggi terjadi pada bulan Juni dan Juli. Waktu kunjungan optimal di jam gadang terjadi pada pukul 07.00-08.00 pagi dan pukul 17.00-18.00 sore. Sedangkan pada panorama pada pukul 08.00-11.00 pagi dan pada pukul 16.00-18.00 sore. Terjadi perbedaan persepsi kenyamanan termal antara hasil survei dengan teori yang disebabkan oleh beberapa faktor seperti faktor lingkungan, albedo permukaan dan sensitivitas kulit manusia.
Analysis of Vertical Atmospheric Structure on the Formation of Convective Clouds and Heavy Rainfall in Padang Pariaman Maharani, Trimike; Sudiar, Nofi Yendri; Amir, Harman; Zulhendra
Journal of Climate Change Society Vol. 3 No. 2 (2025)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jccs/Vol3-iss2/63

Abstract

Padang Pariaman is one of the regions in West Sumatera that is highly vulnerable to hydrometeorogical disasters, particularly flooding caused by heavy rainfall. This study aims to analyze the influence of vertical atmospheric structure on the formation of convective clouds and heavy rainfall in the area. The data used include radiosonde observations and synoptic data from the Minangkabau Meteorological Station, as well as five atmospheric stability indices: Showalter Index (SI), K-Index (KI), Lifted Index (LI), Convective Available Potential Energy (CAPE), and Precipitable Water (PW). The study was conducted over one year, divided into four seasonal periods (DJF, MAM, JJA, SON). Multiple linear regression and correlation analysis were applied to evaluate the relationship between atmospheric indices and the occurrence of convective clouds and heavy rainfall. The results show that atmospheric instability generally increases during the DJF and MAM periods, as indicated by negative values of SI and LI, along with high values of CAPE and PW. These conditions support the development of Cumulonimbus clouds, which have the potential to produce heavy rainfall. Correlation analysis revealed a strong relationship between several stability indices—particularly CAPE and PW—and rainfall intensity. These findings suggest that analyzing vertical atmospheric structure using radiosonde data and RAOB indices can serve as an important early indicator in forecasting extreme weather events in Padang Pariaman.
Prediction of Tropical Cyclone Trajectory and Intensity Using a Particle Motion Based Machine Learning Framework in the Southern Indian Samiaji, Budi Iman; Yulkifli, Yulkifli; Yohandri, Yohandri; Sudiar, Nofi Yendri; Supari, Supari
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol. 14 No. 2: April 2026
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v14i2.19982

Abstract

Tropical cyclones in the Southern Indian Ocean pose severe threats to coastal infrastructure and socio-economic stability, yet predicting their recurving trajectories and intensity remains a significant meteorological challenge. This study evaluates the performance of a particle-motion-based machine learning framework, utilizing the Trackpy library, to forecast cyclone behavior. Leveraging historical data from 2018 to 2025 (JTWC and IBTrACS), the model treats cyclones as physical particles with temporal inertia, employing a multi-lag feature to capture movement momentum. Evaluation using a dataset of 115 cyclones (78:22 train/test ratio) reveals that the Trackpy framework achieves high spatial precision, with Mean Squared Error (MSE) values of 0.1728 for latitude (±33.3 km) and 1.0250 for longitude (±53.2 km). While the intensity prediction yielded a higher MSE of 47.7544 (approximately 6.9-knot deviation), the model successfully captured major strengthening and weakening phases across prominent cyclones, including TC Wallace and TC Neville. These findings demonstrate that integrating temporal inertia is highly effective for maintaining trajectory consistency, establishing Trackpy as a robust architectural foundation for operational forecasting. Further optimization via hybrid models and additional meteorological variables is recommended to enhance intensity accuracy.
Analisis Heat Stress Menggunakan Metode Temperature Humidity Index (THI) di Kota Padang Riandini, Annisa; Sudiar, Nofi Yendri; Akmam, Akmam; Zulhendra, Zulhendra
Jurnal Pendidikan Tambusai Vol. 10 No. 1 (2026)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v10i1.36249

Abstract

Penelitian ini memiliki tujuan untuk mengetahui bagaimana tingkat kenyamanan termal di Kota Padang dan bagaimana pengaruh tingkat kenyamanan termal terhadap heat stress di Kota Padang berdasarkan metode Temperature Humidity Index (THI). Data yang digunakan dalam studi ini yaitu curah hujan, suhu udara dan kelembaban udara dari Badan Meteorologi Klimatologi dan Geofisika Teluk Bayur periode 2009-2023. Hasil penelitian menunjukkan bahwa tingkat kenyamanan termal di Kota Padang dengan kategori sebagian nyaman sebesar 91,11% dan kategori tidak nyaman sebesar 6,67%. Kenyamanan termal berpengaruh terhadap heat stress sebagai keseimbangan tubuh dengan lingkungan. Jika kondisi lingkungan masih dalam batas kenyamanan, maka tubuh dapat menjaga suhu tetap stabil melalui mekanisme fisiologis seperti penguapan keringat.
Analysis Of Cape Index And Total Index Thresholds Towards Cumulonimbus Cloud And Thunderstorm Events At Minangkabau International Airport Indah Yoseva Effendi; Nofi Yendri Sudiar; Ratnawulan; Harman Amir
Journal of Climate Change Society Vol. 4 No. 1 (2026)
Publisher : Universitas Negeri Padang

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Abstract

Indonesia located along the equator and dominated by oceanic areas, is highly vulnerable to atmospheric dynamics and extreme convective weather. Minangkabau International Airport (BIM), situated in a coastal region of West Sumatra, is frequently affected by cumulonimbus (Cb) clouds and thunderstorms (TS), which pose risks to aviation safety. This study aims to determine the threshold values of the Convective Available Potential Energy (CAPE) index and the Total Totals Index (TT) that are appropriate for local conditions, based on radiosonde and synoptic observation data from 2019–2023, and verified using 2024 data. The CAPE and TT values were analyzed using Sturges’ method to determine frequency intervals and dichotomous analysis to establish threshold effectiveness. Results indicate that CAPE thresholds for Cb clouds range from 495 to 2679 J/kg, while TT thresholds for thunderstorms range from 43.5 to 47.4, depending on the seasonal variation (DJF, MAM, JJA, SON). These thresholds demonstrated strong performance in identifying convective weather events, thus serving as a useful reference for forecasting and enhancing flight safety at BIM.
Co-Authors Akmam Akmam Ari Nuryadi Asrizal Az-Zahra, Khalishah Raudhatul Bahri, Aliefa Zunaida Bana, Vrielsha Fadhila Ulfa Jhora Gautama, Muhammad Isa Habiburrahman, H Hamdi Hamdi Hamdi Rifai Harman Amir Ifdil Ifdil Indah Yoseva Effendi Letmi Dwiridal Madinah, Nur Maharani, Trimike Mairizwan, M Mairizwan, Mairizwan Pakhrur Razi Rahmadhani, Annisa Ratnawulan Razi, Pakhur Riandini, Annisa Rinadi, Aulia Rozi, Hanifsyah Samiaji, Budi Iman sulistiyono, andi Supari Supari, Supari Thamrin Thamrin Yohandri Bow Yohandri, Y Yulkifli Yulkifli Zulhendra Zulhendra Zulhendra Zulhendra, Zulhendra